default search action
Vu Nguyen 0001
Person information
- affiliation: University of Oxford, UK
- affiliation (PhD 2015): Deakin University, Geelong, Australia
Other persons with the same name
- Vu Nguyen — disambiguation page
- Vu Nguyen 0002 — Griffith University, School of Information and Communication Technology, Australia
- Vu Nguyen 0003
— Vietnam National University - Ho Chi Minh City, Faculty of Information Technology, Vietnam (and 1 more)
- Vu Nguyen 0004 — Stony Brook University, Department of Computer Science, NY, USA
- Vu Nguyen 0005
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c34]Yixin Liu
Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CIKM 2024: 1513-1522 - [i8]Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen:
Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CoRR abs/2407.18013 (2024) - 2021
- [j6]Nienke E. R. van Bueren
Personalized brain stimulation for effective neurointervention across participants. PLoS Comput. Biol. 17(9) (2021) - 2020
- [j5]Julian Berk
Bayesian optimisation in unknown bounded search domains. Knowl. Based Syst. 195: 105645 (2020) - [i7]Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh:
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling. CoRR abs/2002.11256 (2020)
2010 – 2019
- 2019
- [j4]Trung Le, Khanh Nguyen, Vu Nguyen
GoGP: scalable geometric-based Gaussian process for online regression. Knowl. Inf. Syst. 60(1): 197-226 (2019) - [j3]Vu Nguyen
Filtering Bayesian optimization approach in weakly specified search space. Knowl. Inf. Syst. 60(1): 385-413 (2019) - [c33]Vu Nguyen
Bayesian Optimization for Accelerating Hyper-Parameter Tuning. AIKE 2019: 302-305 - [c32]Vu Nguyen, Sunil Gupta, Santu Rana, My T. Thai, Cheng Li, Svetha Venkatesh:
Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations. ICDM 2019: 1270-1275 - [i6]Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson:
Accelerating Experimental Design by Incorporating Experimenter Hunches. CoRR abs/1907.09065 (2019) - 2018
- [c31]Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen
Accelerating Experimental Design by Incorporating Experimenter Hunches. ICDM 2018: 257-266 - [c30]Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu:
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. IJCAI 2018: 3125-3131 - [c29]Shivapratap Gopakumar, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation. NeurIPS 2018: 5470-5478 - [c28]Julian Berk
Exploration Enhanced Expected Improvement for Bayesian Optimization. ECML/PKDD (2) 2018: 621-637 - [i5]Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
Practical Batch Bayesian Optimization for Less Expensive Functions. CoRR abs/1811.01466 (2018) - 2017
- [j2]Trung Le, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung:
Approximation Vector Machines for Large-scale Online Learning. J. Mach. Learn. Res. 18: 111:1-111:55 (2017) - [j1]Nguyen Cong Thuong
A Simultaneous Extraction of Context and Community from pervasive signals using nested Dirichlet process. Pervasive Mob. Comput. 38: 396-417 (2017) - [c27]Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition. ACML 2017: 279-294 - [c26]Trung Le, Khanh Nguyen, Vu Nguyen
GoGP: Fast Online Regression with Gaussian Processes. ICDM 2017: 257-266 - [c25]Vu Nguyen
Bayesian Optimization in Weakly Specified Search Space. ICDM 2017: 347-356 - [c24]Santu Rana, Cheng Li, Sunil Gupta, Vu Nguyen, Svetha Venkatesh:
High Dimensional Bayesian Optimization with Elastic Gaussian Process. ICML 2017: 2883-2891 - [c23]Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen
High Dimensional Bayesian Optimization using Dropout. IJCAI 2017: 2096-2102 - [c22]Vu Nguyen
Discriminative Bayesian Nonparametric Clustering. IJCAI 2017: 2550-2556 - [i4]Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, Svetha Venkatesh:
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes. CoRR abs/1703.04842 (2017) - 2016
- [c21]Khanh Nguyen, Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
Multiple Kernel Learning with Data Augmentation. ACML 2016: 49-64 - [c20]Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
A Bayesian Nonparametric Approach for Multi-label Classification. ACML 2016: 254-269 - [c19]Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
Nonparametric Budgeted Stochastic Gradient Descent. AISTATS 2016: 654-572 - [c18]Thanh Dai Nguyen, Sunil Gupta, Santu Rana
Cascade Bayesian Optimization. Australasian Conference on Artificial Intelligence 2016: 268-280 - [c17]Nguyen Thanh Binh, Vu Nguyen
Learning Multifaceted Latent Activities from Heterogeneous Mobile Data. DSAA 2016: 389-398 - [c16]Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh:
Budgeted Batch Bayesian Optimization. ICDM 2016: 1107-1112 - [c15]Vu Nguyen, Tu Dinh Nguyen, Trung Le, Svetha Venkatesh, Dinh Q. Phung:
One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems. ICDM 2016: 1113-1118 - [c14]Tu Dinh Nguyen, Vu Nguyen
Distributed data augmented support vector machine on Spark. ICPR 2016: 498-503 - [c13]Cheng Li
Multiple adverse effects prediction in longitudinal cancer treatment. ICPR 2016: 3156-3161 - [c12]Nguyen Thanh Binh, Vu Nguyen
MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data. ICPR 2016: 3633-3638 - [c11]Trung Le, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung:
Dual Space Gradient Descent for Online Learning. NIPS 2016: 4583-4591 - [c10]Khanh Nguyen, Trung Le, Vu Nguyen
Sparse Adaptive Multi-hyperplane Machine. PAKDD (1) 2016: 27-39 - [c9]Nguyen Thanh Binh, Vu Nguyen
Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes. PAKDD Workshops 2016: 128-140 - [c8]Nguyen Cong Thuong
SECC: Simultaneous extraction of context and community from pervasive signals. PerCom 2016: 1-9 - [c7]Trung Le, Phuong Duong, Mi Dinh, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung:
Budgeted Semi-supervised Support Vector Machine . UAI 2016 - [i3]Trung Le, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung:
Approximation Vector Machines for Large-scale Online Learning. CoRR abs/1604.06518 (2016) - [i2]Trung Le, Khanh Nguyen, Van Nguyen
Scalable Support Vector Machine for Semi-supervised Learning. CoRR abs/1606.06793 (2016) - 2015
- [c6]Vu Nguyen
A Bayesian Nonparametric Approach to Multilevel Regression. PAKDD (1) 2015: 330-342 - 2014
- [c5]Tien-Vu Nguyen, Dinh Quoc Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Bui:
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. ICML 2014: 288-296 - [i1]Vu Nguyen, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui:
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. CoRR abs/1401.1974 (2014) - 2013
- [c4]Tien-Vu Nguyen
Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification. ICONIP (2) 2013: 124-131 - [c3]Tien-Vu Nguyen
Interactive browsing system for anomaly video surveillance. ISSNIP 2013: 384-389 - 2012
- [c2]Tien-Vu Nguyen, Dinh Q. Phung, Santu Rana, Duc-Son Pham, Svetha Venkatesh:
Multi-modal abnormality detection in video with unknown data segmentation. ICPR 2012: 1322-1325 - [c1]Tien-Vu Nguyen
Higher Order Conditional Random Field for Multi-Label Interactive Image Segmentation. RIVF 2012: 1-4
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-08 01:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: